Relevant Component Analysis for Supervised Distance Metric Learning

Relevant Component Analysis (RCA) tries to find a linear transformation of the feature space such that the effect of irrelevant variability is reduced in the transformed space.


Build Status AppVeyor Build Status CRAN Version Downloads from the RStudio CRAN mirror

Relevant Component Analysis (RCA) for supervised distance metric learning.

Installation

Install RECA from CRAN:

install.packages("RECA")

Or try the development version on GitHub:

# install.packages("devtools")
devtools::install_github("road2stat/RECA")

Links

Contribute

To contribute to this project, please take a look at the Contributing Guidelines first. Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

News

Reference manual

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install.packages("RECA")

1.7 by Nan Xiao, 5 months ago


https://nanx.me/RECA/, https://github.com/nanxstats/RECA


Report a bug at https://github.com/nanxstats/RECA/issues


Browse source code at https://github.com/cran/RECA


Authors: Nan Xiao [aut, cre]


Documentation:   PDF Manual  


GPL-3 | file LICENSE license


Suggests MASS


See at CRAN